Which of these statements is true about relation partitioning? It places different rows from the same table on different machines, allowing for the computing of different query predicates in parallel on different machines. It places different columns from the same table on different machines, which allows for computing different query predicates in parallel on different machines. It places certain tables on one machine and others on a different machine, allowing different query subexpressions in the same plan to be computed in parallel on different machines. It replicates and indexes data, which generally improves query performance.
Which of these statements is true about relation partitioning? It places different rows from the same table on different machines, allowing for the computing of different query predicates in parallel on different machines. It places different columns from the same table on different machines, which allows for computing different query predicates in parallel on different machines. It places certain tables on one machine and others on a different machine, allowing different query subexpressions in the same plan to be computed in parallel on different machines. It replicates and indexes data, which generally improves query performance.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Which of these statements is true about relation partitioning?
-
It places different rows from the same table on different machines, allowing for the computing of different query predicates in parallel on different machines.
-
It places different columns from the same table on different machines, which allows for computing different query predicates in parallel on different machines.
-
It places certain tables on one machine and others on a different machine, allowing different query subexpressions in the same plan to be computed in parallel on different machines.
-
It replicates and indexes data, which generally improves query performance.
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